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Novel Antenna Design for Surface Wave Suppression in Microwave Breast Screening

2023· article· en· W4388450150 on OpenAlex
Milad Mokhtari, Milica Popović

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrowaveGround planeAntenna (radio)Surface waveMaterials scienceAcousticsRadiation patternOptoelectronicsElectronic engineeringComputer scienceOpticsPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

One of the challenges of antenna design for microwave-based breast screening systems is to minimize the surface waves propagating at the interface between the substrate and the biological tissue. The surface waves become additionally pronounced inside the substrate with a confining ground plane, which is required for unidirectionality and blocks environmental radiation. This paper introduces a simplified human breast model and presents a quantitative analysis of the existing surface waves. Then, we propose an array of 16 cavity-backed patch antennas with parasitic elements, designed to operate in the 3.1-5.1 GHz range. Each antenna element is optimized to function next to the breast tissue. Full-wave simulations reveal that the proposed antenna array achieves higher unidirectionality and suppressed mutual coupling levels. In addition, the design offers improved bio-compatibility when compared with the previous designs, as it employs the SYLGARD™ 184 silicone elastomer PDMS substrate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.233
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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